Polarimetric imaging is useful for object recognition and material classification because of its ability to discriminate objects based on polarimetric signatures materials. an captures important physical properties such as shape surface can be effective even in low light environments. Integral a passive three-dimensional (3D) approach that takes advantage multiple 2D perspectives perform 3D reconstruction. In this paper, we propose unified detection degraded environments the presence...

In this paper, we address the problem of object recognition in degraded environments including fog and partial occlusion. Both long wave infrared (LWIR) imaging systems LiDAR (time flight) using Azure Kinect, which combine conventional visible lidar sensing information, have been previously demonstrated for ideal conditions. However, detection performance Kinect depth may decrease significantly adverse weather conditions such as fog, rain, snow. The concentration degrades images camera,...

Underwater scattering caused by suspended particles in the water severely degrades signal detection performance and poses significant challenges to problem of object detection. This paper introduces an integrated dual-function deep learning-based underwater classification temporal algorithm using three-dimensional (3D) integral imaging (InIm) under degraded conditions. The proposed system is efficient for environments such as turbidity partial occlusion also provides range scene. A camera...

Traditionally, long wave infrared imaging has been used in photon starved conditions for object detection and classification. We investigate passive three-dimensional (3D) integral (InIm) visible spectrum classification using deep neural networks photon-starved under partial occlusion. compare the proposed 3D InIm operating domain with that of sensing both 2D cases degraded conditions. This comparison is based on average precision, recall, miss rates. Our experimental results demonstrate...

Three-dimensional (3D) polarimetric integral imaging (InIm) to extract the 3D information of objects in photon-starved conditions is investigated using a low noise visible range camera and long wave infrared (LWIR) camera, performance between two sensors compared. Stokes polarization parameters degree (DoP) are calculated scene while reconstruction provides depth improves low-light tasks. An LWIR wire grid polarizer linear film used as for cameras, respectively. To account limited number...

Polarimetric imaging can become challenging in degraded environments such as low light illumination conditions or partial occlusions. In this paper, we propose the denoising convolutional neural network (DnCNN) model with three-dimensional (3D) integral to enhance reconstructed image quality of polarimetric and The DnCNN is trained based on physical capture visualization where simulated images are used training process. experimentally tested real captured occlusion. performance compared that...

Integral imaging has proven useful for three-dimensional (3D) object visualization in adverse environmental conditions such as partial occlusion and low light. This paper considers the problem of 3D tracking. Two-dimensional (2D) tracking within a scene is an active research area. Several recent algorithms use detection methods to obtain 2D bounding boxes around objects interest each frame. Then, one box can be selected out many using motion prediction algorithms. Many these rely on images...

We present recent advances in lensless random phase encoded imaging for cell identification as related to biomedical applications, accentuating the robustness of methodologies through an examination previously published works. Following explanation foundational principles identification, discussions proceed on evaluation lateral resolution capabilities, current computational approaches, and exploration practical impacts these advancements applications. In particular, we seek foster a deeper...

We report a compact, low cost, multi-color diode laser based illumination system for display and laser-projectors. An innovative speckle reduction on spatially structured temporally varying beams was designed developed. Three primary color lasers were efficiently combined then made incident onto electromechanically controlled diffractive optical elements. This splits single beam to multiple moving beams, thus realizing the spatial, angular temporal diversity simultaneously. Multiple are...

The two-point-source resolution criterion is widely used to quantify the performance of imaging systems. two main approaches for computation are detection theoretic and visual analyses. first assumes a shift-invariant system lacks ability incorporate different point spread functions (PSFs), which may be required in certain situations like computing axial resolution. latter approach, includes Rayleigh criterion, relies on peak-to-valley ratio does not properly account presence noise. We...

We present an overview of previously reported Single Random Phase Encoding (SRPE) and Double (DRPE) optical bio-sensing systems. In contrast to traditional imaging modalities that rely on lenses capture magnify subjects, SRPE DRPE employ phase masks modulate the light field emanating from object. This modulation results in a pseudo-random signal be received at sensor, which is then classified by appropriate classification algorithm. lensless paradigm not only reduces physical bulk expense...

The two-point source longitudinal resolution of three-dimensional integral imaging depends on several factors including the number sensors, sensor pixel size, pitch between and lens point spread function. We assume sources to be resolved if their functions can in any one sensors. Previous studies either rely geometrical optics formulation or function sub-pixel thus neglecting effect lens. These also both focus captured elemental images. More importantly, previous analysis does not consider...

We propose polarimetric three-dimensional (3D) integral imaging profilometry and investigate its performance under degraded environmental conditions in terms of the accuracy object depth acquisition. Integral based provides information by capturing utilizing multiple perspectives observed object. However, map generation may degrade due to light condition, partial occlusions, surface material. To improve estimation these conditions, we use profilometry. Our experiments indicate that proposed...

Coherence properties of light sources are indispensable for optical coherence microscopy/tomography as they greatly influence the signal-to-noise ratio, axial resolution, and penetration depth system. In present paper, we report investigation longitudinal spatial a pseudothermal source (PTS) function laser spot size at rotating diffuser plate. The is varied by translating microscope objective lens toward or away from length, which governs resolution microscope, found to be minimum beam 3.5...

We overview a method of extracting 3D reconstructed polarimetric integral images from elemental recorded in photon starved illumination conditions. Performance the imaging system significantly outperforms conventional 2D system.

Discrete cosine transform (DCT) and total variation (TV) denoising based algorithm is proposed to remove inherent honeycomb structure of fiber optic imaging system preserve sharp edges without sacrificing the resolution system.